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--- |
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license: cc-by-4.0 |
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language: |
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- ar |
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multilinguality: |
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- monolingual |
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pretty_name: Ara-Best-RQ Dataset |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Ara-Best-RQ Dataset |
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## Dataset Summary |
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This dataset provides **metadata only** for a dialectal Arabic speech corpus constructed from publicly available YouTube videos. |
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It consists exclusively of **YouTube video identifiers** and **audio segment boundaries (start/end timestamps)** designed for **self-supervised speech representation learning**. |
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**No audio or video content is distributed as part of this dataset.** |
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--- |
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## Dataset Statistics |
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- **Total spoken duration:** 5,639 h 04 min 27 s |
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- **Number of videos:** 41,826 |
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- **Number of speech segments:** 3,860,419 |
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## Supported Tasks |
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- Self-supervised speech representation learning |
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- Speech segmentation |
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- Arabic speech and dialect research |
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## Languages |
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- Arabic (`ar`) |
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## Dataset Structure |
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Each entry includes: |
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- A YouTube video identifier |
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- Segment start time (seconds) |
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- Segment end time (seconds) |
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Users are expected to retrieve the referenced media themselves and extract the corresponding audio segments. |
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--- |
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## Licensing Information |
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### Metadata License |
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All metadata (video identifiers and segment boundaries) is released under: |
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**Creative Commons Attribution 4.0 International (CC BY 4.0)** |
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This license applies **only to the metadata** provided in this dataset. |
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### Referenced Media |
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The referenced audio/video content: |
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- Is **not distributed** |
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- Remains hosted on YouTube |
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- Is subject to the **original license selected by the content uploader** |
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Users are responsible for ensuring compliance with the original content licenses and YouTube’s Terms of Service. |
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--- |
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## Citation |
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If you use this dataset, please cite the following paper: |
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> **Ara-Best-RQ: Multi Dialectal Arabic SSL** |
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> Haroun Elleuch, Ryan Whetten, Salima Mdhaffar, Yannick Estève, Fethi Bougares |
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> *Accepted at ICASSP 2026* |
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A BibTeX entry will be provided once the proceedings are published. |
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## Ethical Considerations |
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- This dataset references only publicly available content |
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- No personally identifying information is added or inferred |
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- No attempt is made to identify speakers |
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## Limitations |
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- Some referenced videos may become unavailable over time |
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- Audio quality and recording conditions vary |
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- Licensing information for individual videos is not exhaustively archived |
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## Contact |
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For questions, corrections, or takedown requests, please contact the dataset maintainer via the Hugging Face repository. |
